漂亮
发表于 2025-3-23 10:52:00
David Ussiri,Rattan Lalflexibility to adapt to heterogeneous sequence lengths, mesh-based transformer architectures have been proposed in the past for predicting hippocampus deformations across time. However, one of the main limitations of transformers is the large amount of trainable parameters, which makes the applicati
熄灭
发表于 2025-3-23 17:29:05
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originality
发表于 2025-3-23 18:21:32
from white matter tract data has not been attempted. In this paper, we propose a deep-learning-based framework for neuropsychological score prediction using microstructure measurements estimated from diffusion magnetic resonance imaging (dMRI) tractography, focusing on predicting performance on a re
遗传
发表于 2025-3-23 22:18:58
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Resign
发表于 2025-3-24 05:09:41
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皮萨
发表于 2025-3-24 09:40:19
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Truculent
发表于 2025-3-24 12:14:20
978-94-007-9880-9Springer Science+Business Media Dordrecht 2013
舰旗
发表于 2025-3-24 16:16:59
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Insulin
发表于 2025-3-24 21:41:40
David Ussiri,Rattan Lalstructural differences of tissues, and facilitate the learning of hard samples and minor class. Meanwhile, to weaken the impact of irrelevant structure, we introduce a zoom-in head to localize the tiny ROI. Extensive experiments on two AS-OCT datasets show that our proposed FC-Net yields .–. gains o
Confirm
发表于 2025-3-24 23:27:39
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